%global _empty_manifest_terminate_build 0
Name:		python-aiohttp-s3-client
Version:	0.8.2
Release:	1
Summary:	The simple module for putting and getting object from Amazon S3 compatible endpoints
License:	Apache Software License
URL:		https://github.com/aiokitchen/aiohttp-s3-client
Source0:	https://mirrors.aliyun.com/pypi/web/packages/63/30/fe4fa3e7ba104cf304f8f5386a339214e5eb8a0b0402c050041ccfcc5686/aiohttp_s3_client-0.8.2.tar.gz
BuildArch:	noarch

Requires:	python3-aiohttp
Requires:	python3-aiomisc
Requires:	python3-aws-request-signer

%description
[![PyPI - License](https://img.shields.io/pypi/l/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Wheel](https://img.shields.io/pypi/wheel/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Mypy](http://www.mypy-lang.org/static/mypy_badge.svg)]() [![PyPI](https://img.shields.io/pypi/v/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![PyPI](https://img.shields.io/pypi/pyversions/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Coverage Status](https://coveralls.io/repos/github/mosquito/aiohttp-s3-client/badge.svg?branch=master)](https://coveralls.io/github/mosquito/aiohttp-s3-client?branch=master) ![tox](https://github.com/mosquito/aiohttp-s3-client/workflows/tox/badge.svg?branch=master)
The simple module for putting and getting object from Amazon S3 compatible endpoints
## Installation
```bash
pip install aiohttp-s3-client
```
## Usage
```python
from http import HTTPStatus
from aiohttp import ClientSession
from aiohttp_s3_client import S3Client
async with ClientSession(raise_for_status=True) as session:
    client = S3Client(
        url="http://s3-url",
        session=session,
        access_key_id="key-id",
        secret_access_key="hackme",
        region="us-east-1"
    )
    # Upload str object to bucket "bucket" and key "str"
    async with client.put("bucket/str", "hello, world") as resp:
        assert resp.status == HTTPStatus.OK
    # Upload bytes object to bucket "bucket" and key "bytes"
    resp = await client.put("bucket/bytes", b"hello, world")
    assert resp.status == HTTPStatus.OK
    # Upload AsyncIterable to bucket "bucket" and key "iterable"
    async def gen():
        yield b'some bytes'
    resp = await client.put("bucket/file", gen())
    assert resp.status == HTTPStatus.OK
    # Upload file to bucket "bucket" and key "file"
    resp = await client.put_file("bucket/file", "/path_to_file")
    assert resp.status == HTTPStatus.OK
    # Check object exists using bucket+key
    resp = await client.head("bucket/key")
    assert resp == HTTPStatus.OK
    # Get object by bucket+key
    resp = await client.get("bucket/key")
    data = await resp.read()
    # Delete object using bucket+key
    resp = await client.delete("bucket/key")
    assert resp == HTTPStatus.NO_CONTENT
    # List objects by prefix
    async for result in client.list_objects_v2("bucket/", prefix="prefix"):
        # Each result is a list of metadata objects representing an object
        # stored in the bucket.
        do_work(result)
```
Bucket may be specified as subdomain or in object name:
```python
client = S3Client(url="http://bucket.your-s3-host", ...)
resp = await client.put("key", gen())
client = S3Client(url="http://your-s3-host", ...)
resp = await client.put("bucket/key", gen())
client = S3Client(url="http://your-s3-host/bucket", ...)
resp = await client.put("key", gen())
```
Auth may be specified with keywords or in URL:
```python
client = S3Client(url="http://your-s3-host", access_key_id="key_id",
                  secret_access_key="access_key", ...)
client = S3Client(url="http://key_id:access_key@your-s3-host", ...)
```
## Multipart upload
For uploading large files [multipart uploading](https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html)
can be used. It allows you to asynchronously upload multiple parts of a file
to S3.
S3Client handles retries of part uploads and calculates part hash for integrity checks.
```python
client = S3Client()
await client.put_file_multipart(
    "test/bigfile.csv",
    headers={
    	"Content-Type": "text/csv",
    },
    workers_count=8,
)
```
## Parallel download to file
S3 supports `GET` requests with `Range` header. It's possible to download
objects in parallel with multiple connections for speedup.
S3Client handles retries of partial requests and makes sure that file won't
changed during download with `ETag` header.
If your system supports `pwrite` syscall (linux, macos, etc) it will be used to
write simultaneously to a single file. Otherwise, each worker will have own file
which will be concatenated after downloading.
```python
client = S3Client()
await client.get_file_parallel(
    "dump/bigfile.csv",
    "/home/user/bigfile.csv",
    workers_count=8,
)
```

%package -n python3-aiohttp-s3-client
Summary:	The simple module for putting and getting object from Amazon S3 compatible endpoints
Provides:	python-aiohttp-s3-client
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-aiohttp-s3-client
[![PyPI - License](https://img.shields.io/pypi/l/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Wheel](https://img.shields.io/pypi/wheel/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Mypy](http://www.mypy-lang.org/static/mypy_badge.svg)]() [![PyPI](https://img.shields.io/pypi/v/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![PyPI](https://img.shields.io/pypi/pyversions/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Coverage Status](https://coveralls.io/repos/github/mosquito/aiohttp-s3-client/badge.svg?branch=master)](https://coveralls.io/github/mosquito/aiohttp-s3-client?branch=master) ![tox](https://github.com/mosquito/aiohttp-s3-client/workflows/tox/badge.svg?branch=master)
The simple module for putting and getting object from Amazon S3 compatible endpoints
## Installation
```bash
pip install aiohttp-s3-client
```
## Usage
```python
from http import HTTPStatus
from aiohttp import ClientSession
from aiohttp_s3_client import S3Client
async with ClientSession(raise_for_status=True) as session:
    client = S3Client(
        url="http://s3-url",
        session=session,
        access_key_id="key-id",
        secret_access_key="hackme",
        region="us-east-1"
    )
    # Upload str object to bucket "bucket" and key "str"
    async with client.put("bucket/str", "hello, world") as resp:
        assert resp.status == HTTPStatus.OK
    # Upload bytes object to bucket "bucket" and key "bytes"
    resp = await client.put("bucket/bytes", b"hello, world")
    assert resp.status == HTTPStatus.OK
    # Upload AsyncIterable to bucket "bucket" and key "iterable"
    async def gen():
        yield b'some bytes'
    resp = await client.put("bucket/file", gen())
    assert resp.status == HTTPStatus.OK
    # Upload file to bucket "bucket" and key "file"
    resp = await client.put_file("bucket/file", "/path_to_file")
    assert resp.status == HTTPStatus.OK
    # Check object exists using bucket+key
    resp = await client.head("bucket/key")
    assert resp == HTTPStatus.OK
    # Get object by bucket+key
    resp = await client.get("bucket/key")
    data = await resp.read()
    # Delete object using bucket+key
    resp = await client.delete("bucket/key")
    assert resp == HTTPStatus.NO_CONTENT
    # List objects by prefix
    async for result in client.list_objects_v2("bucket/", prefix="prefix"):
        # Each result is a list of metadata objects representing an object
        # stored in the bucket.
        do_work(result)
```
Bucket may be specified as subdomain or in object name:
```python
client = S3Client(url="http://bucket.your-s3-host", ...)
resp = await client.put("key", gen())
client = S3Client(url="http://your-s3-host", ...)
resp = await client.put("bucket/key", gen())
client = S3Client(url="http://your-s3-host/bucket", ...)
resp = await client.put("key", gen())
```
Auth may be specified with keywords or in URL:
```python
client = S3Client(url="http://your-s3-host", access_key_id="key_id",
                  secret_access_key="access_key", ...)
client = S3Client(url="http://key_id:access_key@your-s3-host", ...)
```
## Multipart upload
For uploading large files [multipart uploading](https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html)
can be used. It allows you to asynchronously upload multiple parts of a file
to S3.
S3Client handles retries of part uploads and calculates part hash for integrity checks.
```python
client = S3Client()
await client.put_file_multipart(
    "test/bigfile.csv",
    headers={
    	"Content-Type": "text/csv",
    },
    workers_count=8,
)
```
## Parallel download to file
S3 supports `GET` requests with `Range` header. It's possible to download
objects in parallel with multiple connections for speedup.
S3Client handles retries of partial requests and makes sure that file won't
changed during download with `ETag` header.
If your system supports `pwrite` syscall (linux, macos, etc) it will be used to
write simultaneously to a single file. Otherwise, each worker will have own file
which will be concatenated after downloading.
```python
client = S3Client()
await client.get_file_parallel(
    "dump/bigfile.csv",
    "/home/user/bigfile.csv",
    workers_count=8,
)
```

%package help
Summary:	Development documents and examples for aiohttp-s3-client
Provides:	python3-aiohttp-s3-client-doc
%description help
[![PyPI - License](https://img.shields.io/pypi/l/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Wheel](https://img.shields.io/pypi/wheel/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Mypy](http://www.mypy-lang.org/static/mypy_badge.svg)]() [![PyPI](https://img.shields.io/pypi/v/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![PyPI](https://img.shields.io/pypi/pyversions/aiohttp-s3-client)](https://pypi.org/project/aiohttp-s3-client) [![Coverage Status](https://coveralls.io/repos/github/mosquito/aiohttp-s3-client/badge.svg?branch=master)](https://coveralls.io/github/mosquito/aiohttp-s3-client?branch=master) ![tox](https://github.com/mosquito/aiohttp-s3-client/workflows/tox/badge.svg?branch=master)
The simple module for putting and getting object from Amazon S3 compatible endpoints
## Installation
```bash
pip install aiohttp-s3-client
```
## Usage
```python
from http import HTTPStatus
from aiohttp import ClientSession
from aiohttp_s3_client import S3Client
async with ClientSession(raise_for_status=True) as session:
    client = S3Client(
        url="http://s3-url",
        session=session,
        access_key_id="key-id",
        secret_access_key="hackme",
        region="us-east-1"
    )
    # Upload str object to bucket "bucket" and key "str"
    async with client.put("bucket/str", "hello, world") as resp:
        assert resp.status == HTTPStatus.OK
    # Upload bytes object to bucket "bucket" and key "bytes"
    resp = await client.put("bucket/bytes", b"hello, world")
    assert resp.status == HTTPStatus.OK
    # Upload AsyncIterable to bucket "bucket" and key "iterable"
    async def gen():
        yield b'some bytes'
    resp = await client.put("bucket/file", gen())
    assert resp.status == HTTPStatus.OK
    # Upload file to bucket "bucket" and key "file"
    resp = await client.put_file("bucket/file", "/path_to_file")
    assert resp.status == HTTPStatus.OK
    # Check object exists using bucket+key
    resp = await client.head("bucket/key")
    assert resp == HTTPStatus.OK
    # Get object by bucket+key
    resp = await client.get("bucket/key")
    data = await resp.read()
    # Delete object using bucket+key
    resp = await client.delete("bucket/key")
    assert resp == HTTPStatus.NO_CONTENT
    # List objects by prefix
    async for result in client.list_objects_v2("bucket/", prefix="prefix"):
        # Each result is a list of metadata objects representing an object
        # stored in the bucket.
        do_work(result)
```
Bucket may be specified as subdomain or in object name:
```python
client = S3Client(url="http://bucket.your-s3-host", ...)
resp = await client.put("key", gen())
client = S3Client(url="http://your-s3-host", ...)
resp = await client.put("bucket/key", gen())
client = S3Client(url="http://your-s3-host/bucket", ...)
resp = await client.put("key", gen())
```
Auth may be specified with keywords or in URL:
```python
client = S3Client(url="http://your-s3-host", access_key_id="key_id",
                  secret_access_key="access_key", ...)
client = S3Client(url="http://key_id:access_key@your-s3-host", ...)
```
## Multipart upload
For uploading large files [multipart uploading](https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html)
can be used. It allows you to asynchronously upload multiple parts of a file
to S3.
S3Client handles retries of part uploads and calculates part hash for integrity checks.
```python
client = S3Client()
await client.put_file_multipart(
    "test/bigfile.csv",
    headers={
    	"Content-Type": "text/csv",
    },
    workers_count=8,
)
```
## Parallel download to file
S3 supports `GET` requests with `Range` header. It's possible to download
objects in parallel with multiple connections for speedup.
S3Client handles retries of partial requests and makes sure that file won't
changed during download with `ETag` header.
If your system supports `pwrite` syscall (linux, macos, etc) it will be used to
write simultaneously to a single file. Otherwise, each worker will have own file
which will be concatenated after downloading.
```python
client = S3Client()
await client.get_file_parallel(
    "dump/bigfile.csv",
    "/home/user/bigfile.csv",
    workers_count=8,
)
```

%prep
%autosetup -n aiohttp_s3_client-0.8.2

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-aiohttp-s3-client -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.2-1
- Package Spec generated